Data Scientist analyzing fast - changing consumer goods data. Developing and improving ML models based on client feedback and innovative data insights.
NU
Hybrid Manager II, Data Science – Model Audit
Posted 12 minutes ago
About the role
- Manager II overseeing a team in assessing data governance and model risk management for audit strategies. Delivering actionable insights and aligning audit activities with risk priorities and regulatory expectations.
Responsibilities
- Responsible for overseeing a team of model, data and AI specialists focused on assessing the effectiveness of data governance, data management, model risk management, AI governance and related technology and analytical processes and controls across First Line Management and Second Line Risk Management.
- Develops audit strategies, ensures high‑quality execution of complex audits, and provides deep subject‑matter expertise in data and model risk as well as new and emerging areas of artificial intelligence and agentic AI.
- Aligns audit activities with organizational risk priorities and regulatory expectations.
- Leads the development and continuous enhancement of risk‑based coverage models, testing frameworks, and standardized evaluation criteria—in partnership with Internal Audit leadership—to ensure consistent, repeatable, and risk‑sensitive audit approaches across data and model risk areas.
- Ensures the audit program delivers actionable insights that strengthen risk management, control effectiveness, and operational resilience.
Requirements
- Bachelor’s degree in related field or equivalent combination of training, education and experience
- College/university degree and 7+ years work experience; 3+ years of management experience
- Strong ability to create an environment that emphasizes data-driven decision-making across an organization, empowering teams to leverage analytical insights effectively
- In-depth knowledge of data science tools and technologies (e.g., Python, R, TensorFlow, SQL) to guide team workflows and methodologies
- Strong presentation and storytelling skills to distill complex models and predictions into understandable insights for diverse audiences, including non-technical stakeholders
- Skill in establishing clear metrics and performance indicators to monitor the effectiveness of data science projects and ensure alignment with business outcomes
- Strong ability to manage multiple teams, ensuring alignment and cohesion in achieving objectives
- Expertise in managing projects from conception to execution, ensuring adherence to timelines and budgets
- Ability to analyze diverse data and identify trends to inform decision-making and strategic planning
- Excellent communication skills, able to convey complex ideas and strategies to various audiences
- Flexibility to adapt strategies and processes in response to evolving business conditions or challenges
- Commitment to fostering team growth through training, feedback, and recognizing achievements.
- Master’s Degree in related field or equivalent combination of training, education and experience
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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